Blockchain Hash Embedding in Vehicle Vision Data
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Solution Overview
Problem
Current technologies lack an effective method to securely validate and associate vision data captured by vehicles with relevant vehicle information, such as events or registrations, in a way that ensures data integrity and authenticity.
Innovation Solution
The method involves embedding a blockchain hash, generated based on vehicle events or registrations, into the vision data using blockchain technology, allowing the data to be securely tied to vehicle information stored on a blockchain, enabling verification of the data's authenticity through the blockchain hash.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain technology is used to validate vision data, then data integrity and authenticity are improved, but device complexity and processing time increase
Solution Approach 1:
The system segments the validation process by separating the blockchain hash generation (performed by the domain server) from the hash embedding (performed by the vision sensor). This division allows the complex blockchain operations to be isolated to specific components, reducing overall system complexity while maintaining data integrity through distributed hash verification.
Solution Approach 2:
The blockchain hash is generated and embedded in the vision data before the data leaves the vision sensor. This preliminary action ensures that authentication information is prepared in advance, allowing downstream systems to verify data integrity without performing complex blockchain operations, thus reducing processing time and system complexity.
2Reliability
If blockchain hash is embedded in every vision data frame, then data authenticity is improved, but data processing time and computational load increase
Solution Approach 1:
Instead of embedding blockchain hashes in every single vision data frame, the system embeds hashes selectively based on configured triggers (e.g., every N frames, or only on events). This partial action approach maintains data authenticity for critical frames while significantly reducing the computational load and processing time compared to universal embedding.
Solution Approach 2:
The system allows dynamic adjustment of embedding parameters such as the frequency of hash embedding and the trigger conditions. By changing these parameters, the system can optimize the balance between data authenticity and processing time based on specific application requirements, reducing unnecessary computational overhead.
3Reliability
If reversible steganography is used to embed blockchain hash, then data security is improved, but manufacturing precision and implementation complexity increase
Solution Approach 1:
The patent employs reversible steganography as an intermediary technique that embeds the blockchain hash within the vision data in a way that is imperceptible and reversible. This intermediary method allows the hash to be hidden within the data structure without altering the visual content, providing security while maintaining a standardized implementation approach that reduces precision requirements.
Data Source
AI summary
A system and method for producing vision data that is embedded with a blockchain hash stored on a blockchain, the method including: detecting a vehicle event at a vehicle using vehicle electronics included in the vehicle; sending a vehicle event report message to a blockchain domain server in response to the detected vehicle event, the vehicle event report message including information pertaining to the detected vehicle event, and wherein the blockchain domain server is configured to record the detected vehicle event as a part of a blockchain based on the vehicle event report message; receiving a blockchain hash at the vehicle from the blockchain domain server; and embedding the blockchain hash within vision data at the vehicle using the vehicle electronics, wherein the vision data is captured by a vision sensor that is mounted on the vehicle and included as a part of the vehicle electronics.